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Efficient cooperative structured control for a multi-joint biomimetic robotic fish 期刊论文
IEEE/ASME Transactions on Mechatronics, 2020, 卷号: 26, 期号: 5, 页码: 2506-2516
作者:  Yan Shuaizheng;  Wu Zhengxing;  Wang Jian;  Tan Min;  Yu Junzhi
Adobe PDF(2394Kb)  |  收藏  |  浏览/下载：86/32  |  提交时间：2023/05/31
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
biosystems engineering, 2020, 期号: 193, 页码: 264-278
作者:  Tian YN(田雨农)
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：167/45  |  提交时间：2022/01/06
Apple flower images acquisition  Apple flower images acquisition  Deep learning  MASU R-CNN  Instance segmentation  
ESO-based controller with model predictive governor for 3D trajectory tracking of underactuated underwater vehicles 期刊论文
IEEE Transactions on Industrial Informatics, 2020, 期号: 17, 页码: 6114-6124
作者:  Kong SH(孔诗涵)
Adobe PDF(1569Kb)  |  收藏  |  浏览/下载：162/50  |  提交时间：2021/06/21
Underactuated underwater vehicle  model predictive control  robust control  3D trajectory tracking  extended state observer  
Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:  Xiong, Tianyi;  Pu, Zhiqiang;  Yi, Jianqiang;  Tao, Xinlong
收藏  |  浏览/下载：320/0  |  提交时间：2020/07/06
neurocontrollers  multi-agent systems  Lyapunov methods  closed loop systems  nonlinear control systems  time-varying systems  adaptive control  observers  uncertain systems  position control  radial basis function networks  robust control  control system synthesis  learning (artificial intelligence)  minimal learning-parameter approach  fixed-time CLSO  time-varying formation tracking problem  formation tracking control scheme  multiagent systems  time-varying formation tracking control problem  model uncertainties  velocity measurements  radial basis function neural networks  fixed-time cascaded leader state observer  fixed-time observer-based adaptive neural network time-varying formation tracking control  RBFNN-based adaptive control scheme  
Instance segmentation of apple flowers using the improved mask R-CNN model 期刊论文
BIOSYSTEMS ENGINEERING, 2020, 卷号: 193, 页码: 264-278
作者:  Tian, Yunong;  Yang, Guodong;  Wang, Zhe;  Li, En;  Liang, Zize
Adobe PDF(4718Kb)  |  收藏  |  浏览/下载：390/107  |  提交时间：2020/06/02
Apple flower images acquisition  Image augmentation  Deep learning  MASU R-CNN  Instance segmentation